Regelpõhised

Regelpõhised, also known as rule-based systems, refer to processes, methods, or frameworks that operate based on predefined rules or sets of instructions. These systems are characterized by their reliance on explicit, logical rules to guide decision-making, problem-solving, or behavior within a given environment. Rule-based systems are used across various fields, including artificial intelligence, computer science, law, and organizational management.

In artificial intelligence, rule-based systems mimic human reasoning by applying a series of if-then rules to derive conclusions or actions. They are often implemented in expert systems designed to replicate the decision-making ability of human specialists by encoding expert knowledge in the form of rules. Such systems are particularly effective in domains with clear, well-understood procedures, such as medical diagnosis, troubleshooting, or compliance monitoring.

The primary advantage of regelpõhised approaches is their transparency and interpretability, as the rules clearly define the logic behind each decision. They are also relatively simple to develop and modify, making them accessible for applications with stable, predictable environments. However, rule-based systems can lack flexibility and adaptability in complex or dynamic contexts, often requiring extensive manual updates to account for new scenarios.

In summary, regelpõhised systems operate through explicit rules and provide a structured, understandable approach to automation and decision-making. They remain a foundational technology in many domains, especially where clarity, precision, and interpretability are prioritized.